Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 3591 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 410.4 KiB |
| Average record size in memory | 117.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 6 |
prev_call_duration is highly correlated with subs_deposit | High correlation |
subs_deposit is highly correlated with prev_call_duration | High correlation |
contact_month is highly correlated with contact_week | High correlation |
contact_week is highly correlated with contact_month | High correlation |
prev_call_duration is highly correlated with subs_deposit | High correlation |
subs_deposit is highly correlated with prev_call_duration | High correlation |
contact_month is highly correlated with contact_week | High correlation |
contact_week is highly correlated with contact_month | High correlation |
contact_month is highly correlated with contact_week | High correlation |
contact_week is highly correlated with contact_month | High correlation |
contact_weekday is highly correlated with contact_day and 3 other fields | High correlation |
subs_deposit is highly correlated with prev_call_duration and 1 other fields | High correlation |
prev_call_duration is highly correlated with subs_deposit | High correlation |
cpi is highly correlated with subs_deposit and 3 other fields | High correlation |
job is highly correlated with education | High correlation |
education is highly correlated with job | High correlation |
contact_day is highly correlated with contact_weekday and 3 other fields | High correlation |
contact_month is highly correlated with contact_weekday and 2 other fields | High correlation |
client_id is highly correlated with contact_weekday and 4 other fields | High correlation |
contact_week is highly correlated with contact_weekday and 4 other fields | High correlation |
client_id has unique values | Unique |
num_contacts_prev has 2927 (81.5%) zeros | Zeros |
Reproduction
| Analysis started | 2022-04-14 02:12:03.515238 |
|---|---|
| Analysis finished | 2022-04-14 02:17:52.927143 |
| Duration | 5 minutes and 49.41 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 3591 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22151.05904 |
| Minimum | 17 |
|---|---|
| Maximum | 41186 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 17 |
|---|---|
| 5-th percentile | 2520.5 |
| Q1 | 11942 |
| median | 22807 |
| Q3 | 32774.5 |
| 95-th percentile | 39702.5 |
| Maximum | 41186 |
| Range | 41169 |
| Interquartile range (IQR) | 20832.5 |
Descriptive statistics
| Standard deviation | 12074.92553 |
|---|---|
| Coefficient of variation (CV) | 0.5451173018 |
| Kurtosis | -1.216305068 |
| Mean | 22151.05904 |
| Median Absolute Deviation (MAD) | 10260 |
| Skewness | -0.1264467109 |
| Sum | 79544453 |
| Variance | 145803826.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 41020 | 1 | < 0.1% |
| 5479 | 1 | < 0.1% |
| 24231 | 1 | < 0.1% |
| 20812 | 1 | < 0.1% |
| 14005 | 1 | < 0.1% |
| 31356 | 1 | < 0.1% |
| 24508 | 1 | < 0.1% |
| 40700 | 1 | < 0.1% |
| 35547 | 1 | < 0.1% |
| 8282 | 1 | < 0.1% |
| Other values (3581) | 3581 |
| Value | Count | Frequency (%) |
| 17 | 1 | |
| 53 | 1 | |
| 68 | 1 | |
| 101 | 1 | |
| 115 | 1 | |
| 139 | 1 | |
| 180 | 1 | |
| 192 | 1 | |
| 238 | 1 | |
| 246 | 1 |
| Value | Count | Frequency (%) |
| 41186 | 1 | |
| 41185 | 1 | |
| 41181 | 1 | |
| 41167 | 1 | |
| 41163 | 1 | |
| 41133 | 1 | |
| 41131 | 1 | |
| 41118 | 1 | |
| 41103 | 1 | |
| 41093 | 1 |
age_bracket
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.2 KiB |
| 2 | |
|---|---|
| 3 | |
| 4 | 117 |
| 1 | 117 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3591 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 4 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 1971 | |
| 3 | 1386 | |
| 4 | 117 | 3.3% |
| 1 | 117 | 3.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 1971 | |
| 3 | 1386 | |
| 4 | 117 | 3.3% |
| 1 | 117 | 3.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 1971 | |
| 3 | 1386 | |
| 4 | 117 | 3.3% |
| 1 | 117 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3591 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 1971 | |
| 3 | 1386 | |
| 4 | 117 | 3.3% |
| 1 | 117 | 3.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3591 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 1971 | |
| 3 | 1386 | |
| 4 | 117 | 3.3% |
| 1 | 117 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3591 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 1971 | |
| 3 | 1386 | |
| 4 | 117 | 3.3% |
| 1 | 117 | 3.3% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.342522974 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.315546149 |
|---|---|
| Coefficient of variation (CV) | 0.6927539965 |
| Kurtosis | -1.332489353 |
| Mean | 3.342522974 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.4557118303 |
| Sum | 12003 |
| Variance | 5.361753967 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 1256 | |
| 7 | 694 | |
| 2 | 573 | |
| 5 | 415 | 11.6% |
| 4 | 409 | 11.4% |
| 3 | 144 | 4.0% |
| 6 | 100 | 2.8% |
| Value | Count | Frequency (%) |
| 1 | 1256 | |
| 2 | 573 | |
| 3 | 144 | 4.0% |
| 4 | 409 | 11.4% |
| 5 | 415 | 11.6% |
| 6 | 100 | 2.8% |
| 7 | 694 |
| Value | Count | Frequency (%) |
| 7 | 694 | |
| 6 | 100 | 2.8% |
| 5 | 415 | 11.6% |
| 4 | 409 | 11.4% |
| 3 | 144 | 4.0% |
| 2 | 573 | |
| 1 | 1256 |
marital
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.2 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 10773 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3.0 |
|---|---|
| 2nd row | 3.0 |
| 3rd row | 1.0 |
| 4th row | 2.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 2141 | |
| 2.0 | 1051 | |
| 3.0 | 399 | 11.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 2141 | |
| 2.0 | 1051 | |
| 3.0 | 399 | 11.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3591 | |
| 0 | 3591 | |
| 1 | 2141 | |
| 2 | 1051 | 9.8% |
| 3 | 399 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7182 | |
| Other Punctuation | 3591 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3591 | |
| 1 | 2141 | |
| 2 | 1051 | 14.6% |
| 3 | 399 | 5.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3591 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 10773 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 3591 | |
| 0 | 3591 | |
| 1 | 2141 | |
| 2 | 1051 | 9.8% |
| 3 | 399 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10773 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 3591 | |
| 0 | 3591 | |
| 1 | 2141 | |
| 2 | 1051 | 9.8% |
| 3 | 399 | 3.7% |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.2 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 | |
| 4.0 | |
| 6.0 | 4 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 10773 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 1.0 |
| 4th row | 3.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1199 | |
| 2.0 | 1052 | |
| 3.0 | 850 | |
| 4.0 | 486 | |
| 6.0 | 4 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 1199 | |
| 2.0 | 1052 | |
| 3.0 | 850 | |
| 4.0 | 486 | |
| 6.0 | 4 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3591 | |
| 0 | 3591 | |
| 1 | 1199 | 11.1% |
| 2 | 1052 | 9.8% |
| 3 | 850 | 7.9% |
| 4 | 486 | 4.5% |
| 6 | 4 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7182 | |
| Other Punctuation | 3591 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3591 | |
| 1 | 1199 | 16.7% |
| 2 | 1052 | 14.6% |
| 3 | 850 | 11.8% |
| 4 | 486 | 6.8% |
| 6 | 4 | 0.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3591 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 10773 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 3591 | |
| 0 | 3591 | |
| 1 | 1199 | 11.1% |
| 2 | 1052 | 9.8% |
| 3 | 850 | 7.9% |
| 4 | 486 | 4.5% |
| 6 | 4 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10773 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 3591 | |
| 0 | 3591 | |
| 1 | 1199 | 11.1% |
| 2 | 1052 | 9.8% |
| 3 | 850 | 7.9% |
| 4 | 486 | 4.5% |
| 6 | 4 | < 0.1% |
has_housing_loan
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.2 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 10773 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1939 | |
| 0.0 | 1652 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 1939 | |
| 0.0 | 1652 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5243 | |
| . | 3591 | |
| 1 | 1939 | 18.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7182 | |
| Other Punctuation | 3591 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 5243 | |
| 1 | 1939 | 27.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3591 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 10773 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 5243 | |
| . | 3591 | |
| 1 | 1939 | 18.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10773 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 5243 | |
| . | 3591 | |
| 1 | 1939 | 18.0% |
has_personal_loan
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.2 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 10773 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 3071 | |
| 1.0 | 520 | 14.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 3071 | |
| 1.0 | 520 | 14.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 6662 | |
| . | 3591 | |
| 1 | 520 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7182 | |
| Other Punctuation | 3591 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 6662 | |
| 1 | 520 | 7.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3591 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 10773 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 6662 | |
| . | 3591 | |
| 1 | 520 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10773 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 6662 | |
| . | 3591 | |
| 1 | 520 | 4.8% |
| Distinct | 938 |
|---|---|
| Distinct (%) | 26.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 323.4575327 |
| Minimum | 2 |
|---|---|
| Maximum | 1337 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 49 |
| Q1 | 126 |
| median | 227 |
| Q3 | 436.5 |
| 95-th percentile | 928 |
| Maximum | 1337 |
| Range | 1335 |
| Interquartile range (IQR) | 310.5 |
Descriptive statistics
| Standard deviation | 274.3864898 |
|---|---|
| Coefficient of variation (CV) | 0.848292162 |
| Kurtosis | 1.420470042 |
| Mean | 323.4575327 |
| Median Absolute Deviation (MAD) | 126 |
| Skewness | 1.390693054 |
| Sum | 1161536 |
| Variance | 75287.94576 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 159 | 19 | 0.5% |
| 72 | 19 | 0.5% |
| 76 | 17 | 0.5% |
| 164 | 16 | 0.4% |
| 131 | 16 | 0.4% |
| 161 | 16 | 0.4% |
| 165 | 16 | 0.4% |
| 157 | 16 | 0.4% |
| 156 | 15 | 0.4% |
| 100 | 15 | 0.4% |
| Other values (928) | 3426 |
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 3 | |
| 5 | 2 | 0.1% |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 2 | 0.1% |
| 9 | 1 | < 0.1% |
| 10 | 3 | |
| 11 | 3 |
| Value | Count | Frequency (%) |
| 1337 | 1 | |
| 1336 | 1 | |
| 1329 | 2 | |
| 1328 | 1 | |
| 1327 | 1 | |
| 1321 | 2 | |
| 1319 | 1 | |
| 1317 | 1 | |
| 1313 | 1 | |
| 1309 | 1 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2553606238 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 2927 |
| Zeros (%) | 81.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.623771061 |
|---|---|
| Coefficient of variation (CV) | 2.442706521 |
| Kurtosis | 12.73133201 |
| Mean | 0.2553606238 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.166113889 |
| Sum | 917 |
| Variance | 0.3890903365 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 2927 | |
| 1 | 489 | 13.6% |
| 2 | 116 | 3.2% |
| 3 | 46 | 1.3% |
| 4 | 8 | 0.2% |
| 5 | 4 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 2927 | |
| 1 | 489 | 13.6% |
| 2 | 116 | 3.2% |
| 3 | 46 | 1.3% |
| 4 | 8 | 0.2% |
| 5 | 4 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 5 | 4 | 0.1% |
| 4 | 8 | 0.2% |
| 3 | 46 | 1.3% |
| 2 | 116 | 3.2% |
| 1 | 489 | 13.6% |
| 0 | 2927 |
| Distinct | 23 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.48118574 |
| Minimum | 92.201 |
|---|---|
| Maximum | 94.465 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.431 |
| Q1 | 92.963 |
| median | 93.444 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 94.465 |
| Range | 2.264 |
| Interquartile range (IQR) | 1.031 |
Descriptive statistics
| Standard deviation | 0.6097840083 |
|---|---|
| Coefficient of variation (CV) | 0.006523066684 |
| Kurtosis | -0.9449005877 |
| Mean | 93.48118574 |
| Median Absolute Deviation (MAD) | 0.55 |
| Skewness | -0.1791018275 |
| Sum | 335690.938 |
| Variance | 0.3718365368 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 93.994 | 512 | |
| 92.893 | 489 | |
| 93.918 | 488 | |
| 93.444 | 387 | |
| 94.465 | 315 | |
| 93.2 | 281 | |
| 93.075 | 261 | |
| 92.201 | 122 | 3.4% |
| 92.963 | 107 | 3.0% |
| 92.431 | 72 | 2.0% |
| Other values (13) | 557 |
| Value | Count | Frequency (%) |
| 92.201 | 122 | 3.4% |
| 92.379 | 39 | 1.1% |
| 92.431 | 72 | 2.0% |
| 92.469 | 33 | 0.9% |
| 92.649 | 58 | 1.6% |
| 92.713 | 26 | 0.7% |
| 92.843 | 47 | 1.3% |
| 92.893 | 489 | |
| 92.963 | 107 | 3.0% |
| 93.075 | 261 |
| Value | Count | Frequency (%) |
| 94.465 | 315 | |
| 94.215 | 69 | 1.9% |
| 94.199 | 54 | 1.5% |
| 94.055 | 39 | 1.1% |
| 94.027 | 46 | 1.3% |
| 93.994 | 512 | |
| 93.918 | 488 | |
| 93.876 | 46 | 1.3% |
| 93.798 | 17 | 0.5% |
| 93.749 | 32 | 0.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3591 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2232 | |
| 1 | 1359 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2232 | |
| 1 | 1359 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2232 | |
| 1 | 1359 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3591 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2232 | |
| 1 | 1359 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3591 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2232 | |
| 1 | 1359 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3591 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2232 | |
| 1 | 1359 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.875800613 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.009351887 |
|---|---|
| Coefficient of variation (CV) | 0.5184353087 |
| Kurtosis | -1.263904962 |
| Mean | 3.875800613 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.1170633473 |
| Sum | 13918 |
| Variance | 4.037495006 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 660 | |
| 4 | 540 | |
| 1 | 516 | |
| 7 | 501 | |
| 6 | 461 | |
| 3 | 458 | |
| 5 | 455 |
| Value | Count | Frequency (%) |
| 1 | 516 | |
| 2 | 660 | |
| 3 | 458 | |
| 4 | 540 | |
| 5 | 455 | |
| 6 | 461 | |
| 7 | 501 |
| Value | Count | Frequency (%) |
| 7 | 501 | |
| 6 | 461 | |
| 5 | 455 | |
| 4 | 540 | |
| 3 | 458 | |
| 2 | 660 | |
| 1 | 516 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.629072682 |
| Minimum | 3 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 11 |
| Maximum | 12 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.121774945 |
|---|---|
| Coefficient of variation (CV) | 0.3200711543 |
| Kurtosis | -0.2461639541 |
| Mean | 6.629072682 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.6943090981 |
| Sum | 23805 |
| Variance | 4.501928917 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 5 | 1047 | |
| 7 | 590 | |
| 8 | 555 | |
| 6 | 461 | |
| 11 | 339 | 9.4% |
| 4 | 293 | 8.2% |
| 3 | 98 | 2.7% |
| 9 | 93 | 2.6% |
| 10 | 89 | 2.5% |
| 12 | 26 | 0.7% |
| Value | Count | Frequency (%) |
| 3 | 98 | 2.7% |
| 4 | 293 | 8.2% |
| 5 | 1047 | |
| 6 | 461 | |
| 7 | 590 | |
| 8 | 555 | |
| 9 | 93 | 2.6% |
| 10 | 89 | 2.5% |
| 11 | 339 | 9.4% |
| 12 | 26 | 0.7% |
| Value | Count | Frequency (%) |
| 12 | 26 | 0.7% |
| 11 | 339 | 9.4% |
| 10 | 89 | 2.5% |
| 9 | 93 | 2.6% |
| 8 | 555 | |
| 7 | 590 | |
| 6 | 461 | |
| 5 | 1047 | |
| 4 | 293 | 8.2% |
| 3 | 98 | 2.7% |
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.77276525 |
| Minimum | 1 |
|---|---|
| Maximum | 28 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 14 |
| Q3 | 23 |
| 95-th percentile | 27 |
| Maximum | 28 |
| Range | 27 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 8.643006035 |
|---|---|
| Coefficient of variation (CV) | 0.6275432624 |
| Kurtosis | -1.247940309 |
| Mean | 13.77276525 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.1294023327 |
| Sum | 49458 |
| Variance | 74.70155333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 6 | 583 | |
| 14 | 488 | |
| 10 | 417 | |
| 27 | 404 | |
| 23 | 358 | |
| 1 | 323 | |
| 19 | 241 | |
| 18 | 214 | 6.0% |
| 2 | 193 | 5.4% |
| 28 | 97 | 2.7% |
| Other values (6) | 273 |
| Value | Count | Frequency (%) |
| 1 | 323 | |
| 2 | 193 | 5.4% |
| 5 | 77 | 2.1% |
| 6 | 583 | |
| 9 | 31 | 0.9% |
| 10 | 417 | |
| 11 | 10 | 0.3% |
| 14 | 488 | |
| 15 | 52 | 1.4% |
| 18 | 214 | 6.0% |
| Value | Count | Frequency (%) |
| 28 | 97 | 2.7% |
| 27 | 404 | |
| 24 | 70 | 1.9% |
| 23 | 358 | |
| 22 | 33 | 0.9% |
| 19 | 241 | |
| 18 | 214 | |
| 15 | 52 | 1.4% |
| 14 | 488 | |
| 11 | 10 | 0.3% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.817878028 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.94054326 |
|---|---|
| Coefficient of variation (CV) | 0.508277961 |
| Kurtosis | -1.002370757 |
| Mean | 3.817878028 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.1041994699 |
| Sum | 13710 |
| Variance | 3.765708142 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 843 | |
| 4 | 828 | |
| 5 | 708 | |
| 3 | 480 | |
| 7 | 387 | |
| 6 | 294 | 8.2% |
| 2 | 51 | 1.4% |
| Value | Count | Frequency (%) |
| 1 | 843 | |
| 2 | 51 | 1.4% |
| 3 | 480 | |
| 4 | 828 | |
| 5 | 708 | |
| 6 | 294 | 8.2% |
| 7 | 387 |
| Value | Count | Frequency (%) |
| 7 | 387 | |
| 6 | 294 | 8.2% |
| 5 | 708 | |
| 4 | 828 | |
| 3 | 480 | |
| 2 | 51 | 1.4% |
| 1 | 843 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| client_id | age_bracket | job | marital | education | has_housing_loan | has_personal_loan | prev_call_duration | num_contacts_prev | cpi | subs_deposit | contact_month | contact_day | contact_week | contact_weekday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41020 | 3 | 1 | 3.0 | 1.0 | 1.0 | 0.0 | 283.0 | 1 | 92.379 | 1 | 7 | 9 | 28 | 1 |
| 1 | 23720 | 4 | 5 | 3.0 | 2.0 | 0.0 | 1.0 | 169.0 | 2 | 94.215 | 1 | 5 | 7 | 19 | 1 |
| 2 | 29378 | 3 | 1 | 1.0 | 1.0 | 0.0 | 0.0 | 552.0 | 0 | 93.444 | 1 | 1 | 8 | 2 | 1 |
| 3 | 36636 | 2 | 2 | 2.0 | 3.0 | 1.0 | 1.0 | 206.0 | 0 | 93.200 | 0 | 2 | 11 | 6 | 7 |
| 4 | 38229 | 1 | 1 | 2.0 | 1.0 | 0.0 | 0.0 | 341.0 | 0 | 93.075 | 1 | 4 | 4 | 14 | 3 |
| 5 | 27202 | 2 | 3 | 1.0 | 2.0 | 0.0 | 0.0 | 81.0 | 0 | 93.444 | 0 | 6 | 8 | 23 | 5 |
| 6 | 1409 | 4 | 1 | 1.0 | 1.0 | 0.0 | 0.0 | 1076.0 | 1 | 92.893 | 1 | 7 | 5 | 27 | 4 |
| 7 | 24379 | 3 | 5 | 1.0 | 3.0 | 0.0 | 0.0 | 133.0 | 0 | 93.918 | 0 | 6 | 7 | 23 | 4 |
| 8 | 10036 | 2 | 7 | 1.0 | 2.0 | 0.0 | 0.0 | 253.0 | 1 | 92.893 | 0 | 3 | 5 | 10 | 1 |
| 9 | 18115 | 3 | 3 | 1.0 | 1.0 | 0.0 | 0.0 | 467.0 | 0 | 94.465 | 1 | 1 | 6 | 1 | 6 |
Last rows
| client_id | age_bracket | job | marital | education | has_housing_loan | has_personal_loan | prev_call_duration | num_contacts_prev | cpi | subs_deposit | contact_month | contact_day | contact_week | contact_weekday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3581 | 24211 | 2 | 7 | 1.0 | 3.0 | 1.0 | 0.0 | 159.0 | 0 | 93.918 | 0 | 6 | 7 | 23 | 4 |
| 3582 | 28348 | 3 | 4 | 1.0 | 2.0 | 0.0 | 0.0 | 77.0 | 0 | 93.444 | 0 | 7 | 8 | 27 | 7 |
| 3583 | 4739 | 2 | 7 | 1.0 | 4.0 | 1.0 | 0.0 | 418.0 | 0 | 92.893 | 0 | 1 | 5 | 1 | 5 |
| 3584 | 2389 | 2 | 7 | 3.0 | 2.0 | 0.0 | 0.0 | 827.0 | 0 | 92.893 | 1 | 7 | 5 | 27 | 4 |
| 3585 | 10248 | 2 | 2 | 2.0 | 2.0 | 1.0 | 0.0 | 13.0 | 0 | 92.893 | 0 | 3 | 5 | 10 | 1 |
| 3586 | 7519 | 3 | 6 | 2.0 | 2.0 | 1.0 | 0.0 | 396.0 | 0 | 92.893 | 1 | 2 | 5 | 6 | 1 |
| 3587 | 29822 | 3 | 1 | 1.0 | 1.0 | 1.0 | 0.0 | 115.0 | 0 | 93.444 | 0 | 1 | 8 | 2 | 1 |
| 3588 | 24462 | 2 | 1 | 1.0 | 3.0 | 1.0 | 0.0 | 214.0 | 0 | 93.918 | 0 | 6 | 7 | 23 | 4 |
| 3589 | 26089 | 2 | 4 | 1.0 | 2.0 | 1.0 | 0.0 | 76.0 | 0 | 93.918 | 0 | 2 | 7 | 6 | 3 |
| 3590 | 40631 | 2 | 1 | 2.0 | 1.0 | 1.0 | 0.0 | 368.0 | 0 | 92.379 | 0 | 4 | 9 | 15 | 1 |